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https://api.github.com/repos/huggingface/datasets/issues/50 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/50/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/50/comments | https://api.github.com/repos/huggingface/datasets/issues/50/events | https://github.com/huggingface/datasets/pull/50 | 612,583,126 | MDExOlB1bGxSZXF1ZXN0NDEzNTAwMjE0 | 50 | [Tests] test only for fast test as a default | {
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} | Test only for one config on circle ci to speed up testing. Add all config test as a slow test.
@mariamabarham @thomwolf | {
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"Test failure is not related to change in test file.\r\n"
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https://api.github.com/repos/huggingface/datasets/issues/49 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/49/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/49/comments | https://api.github.com/repos/huggingface/datasets/issues/49/events | https://github.com/huggingface/datasets/pull/49 | 612,545,483 | MDExOlB1bGxSZXF1ZXN0NDEzNDY5ODg0 | 49 | fix flatten nested | {
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https://api.github.com/repos/huggingface/datasets/issues/48 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/48/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/48/comments | https://api.github.com/repos/huggingface/datasets/issues/48/events | https://github.com/huggingface/datasets/pull/48 | 612,504,687 | MDExOlB1bGxSZXF1ZXN0NDEzNDM2MTgz | 48 | [Command Convert] remove tensorflow import | {
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https://api.github.com/repos/huggingface/datasets/issues/47 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/47/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/47/comments | https://api.github.com/repos/huggingface/datasets/issues/47/events | https://github.com/huggingface/datasets/pull/47 | 612,446,493 | MDExOlB1bGxSZXF1ZXN0NDEzMzg5MDc1 | 47 | [PyArrow Feature] fix py arrow bool | {
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} | To me it seems that `bool` can only be accessed with `bool_` when looking at the pyarrow types: https://arrow.apache.org/docs/python/api/datatypes.html. | {
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} | The dataset `anli.py` currently fails because it tries to look up a key `1\n` in a dict that only has the key `1`. Added an if statement to strip key if it cannot be found in dict. | {
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} | Kwargs for the `load_module` fn should be passed with `module_xxxx` to `builder_kwargs` of `load` fn.
This is a follow-up PR of: https://github.com/huggingface/nlp/pull/41 | {
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https://api.github.com/repos/huggingface/datasets/issues/44 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/44/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/44/comments | https://api.github.com/repos/huggingface/datasets/issues/44/events | https://github.com/huggingface/datasets/pull/44 | 611,873,486 | MDExOlB1bGxSZXF1ZXN0NDEyOTUwMzU1 | 44 | [Tests] Fix tests for datasets with no config | {
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"Whoops I fixed it directly on master before checking that you have done it in this PR. We may close it",
"Yeah, I saw :-) But I think we should add this as well since some datasets have an empty list of configs and then as the code is now it would fail. \r\n\r\nIn this PR, I just make sure that the code jumps in... |
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} | Some dataset scripts have no configs - the tests have to be adapted for this case.
In this case the dummy data will be saved as:
- natural_questions
-> dummy
-> -> 1.0.0 (version num)
-> -> -> dummy_data.zip
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} | Currenly it is not possible to force a re-download of the dataset script.
This simple change allows to pass ``force_reload=True`` as ``builder_kwargs`` in the ``load.py`` function. | {
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} | When the user uploads a dataset on S3, checksums are also uploaded with the `--upload_checksums` parameter.
If the user uploads the dataset in several steps, then the remote checksums file was previously overwritten. Now it's going to be updated with the new checksums. | {
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https://api.github.com/repos/huggingface/datasets/issues/38 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/38/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/38/comments | https://api.github.com/repos/huggingface/datasets/issues/38/events | https://github.com/huggingface/datasets/issues/38 | 611,677,656 | MDU6SXNzdWU2MTE2Nzc2NTY= | 38 | [Checksums] Error for some datasets | {
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"following_url": "https://api.github.com/users/patrickvonplaten/followin... | null | 3 | 2020-05-04T08:00:16Z | 2020-05-04T09:48:20Z | 2020-05-04T09:48:20Z | MEMBER | null | null | null | The checksums command works very nicely for `squad`. But for `crime_and_punish` and `xnli`,
the same bug happens:
When running:
```
python nlp-cli nlp-cli test xnli --save_checksums
```
leads to:
```
File "nlp-cli", line 33, in <module>
service.run()
File "/home/patrick/python_bin/nlp/commands... | {
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"@lhoestq - could you take a look? It's not very urgent though!",
"Fixed with 06882b4\r\n\r\nNow your command works :)\r\nNote that you can also do\r\n```\r\nnlp-cli test datasets/nlp/xnli --save_checksums\r\n```\r\nSo that it will save the checksums directly in the right directory.",
"Awesome!"
] |
https://api.github.com/repos/huggingface/datasets/issues/37 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/37/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/37/comments | https://api.github.com/repos/huggingface/datasets/issues/37/events | https://github.com/huggingface/datasets/pull/37 | 611,670,295 | MDExOlB1bGxSZXF1ZXN0NDEyNzg5MjQ4 | 37 | [Datasets ToDo-List] add datasets | {
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} | ## Description
This PR acts as a dashboard to see which datasets are added to the library and work.
Cicle-ci should always be green so that we can be sure that newly added datasets are functional.
This PR should not be merged.
## Progress
**For the following datasets the test commands**:
```
RUN_SLOW... | {
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"Note:\r\n```\r\nnlp-cli test datasets/nlp/<your-dataset-folder> --save_checksums --all_configs\r\n```\r\ndirectly saves the checksums in the right place, and runs for all the dataset configurations.",
"@patrickvonplaten can you provide the add the link to the PR for the dummy data? ",
"https://github.com/huggi... |
https://api.github.com/repos/huggingface/datasets/issues/36 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/36/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/36/comments | https://api.github.com/repos/huggingface/datasets/issues/36/events | https://github.com/huggingface/datasets/pull/36 | 611,528,349 | MDExOlB1bGxSZXF1ZXN0NDEyNjgwOTk1 | 36 | Metrics - refactoring, adding support for download and distributed metrics | {
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} | Refactoring metrics to have a similar loading API than the datasets and improving the import system.
# Import system
The import system has ben upgraded. There are now three types of imports allowed:
1. `library` imports (identified as "absolute imports")
```python
import seqeval
```
=> we'll test all the impor... | {
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"Ok, this one seems to be ready to merge.",
"> Really cool, I love it! I would just raise a tiny point, the distributive version of the metrics might not work properly with TF because it is a different way to do, why not to add a \"framework\" detection and raise warning when TF is used, saying something like \"n... |
https://api.github.com/repos/huggingface/datasets/issues/35 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/35/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/35/comments | https://api.github.com/repos/huggingface/datasets/issues/35/events | https://github.com/huggingface/datasets/pull/35 | 611,413,731 | MDExOlB1bGxSZXF1ZXN0NDEyNjAyMTc0 | 35 | [Tests] fix typo | {
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} | @lhoestq - currently the slow test fail with:
```
_____________________________________________________________________________________ DatasetTest.test_load_real_dataset_xnli _____________________________________________________________________________________
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https://api.github.com/repos/huggingface/datasets/issues/34 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/34/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/34/comments | https://api.github.com/repos/huggingface/datasets/issues/34/events | https://github.com/huggingface/datasets/pull/34 | 611,385,516 | MDExOlB1bGxSZXF1ZXN0NDEyNTg0OTM0 | 34 | [Tests] add slow tests | {
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} | This PR adds a slow test that downloads the "real" dataset. The test is decorated as "slow" so that it will not automatically run on circle ci.
Before uploading a dataset, one should test that this test passes, manually by running
```
RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/33 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/33/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/33/comments | https://api.github.com/repos/huggingface/datasets/issues/33/events | https://github.com/huggingface/datasets/pull/33 | 611,052,081 | MDExOlB1bGxSZXF1ZXN0NDEyMzU1ODE0 | 33 | Big cleanup/refactoring for clean serialization | {
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} | This PR cleans many base classes to re-build them as `dataclasses`. We can thus use a simple serialization workflow for `DatasetInfo`, including it's `Features` and `SplitDict` based on `dataclasses` `asdict()`.
The resulting code is a lot shorter, can be easily serialized/deserialized, dataset info are human-readab... | {
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"Great! I think when this merged, we can merge sure that Circle Ci stays happy when uploading new datasets. "
] |
https://api.github.com/repos/huggingface/datasets/issues/32 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/32/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/32/comments | https://api.github.com/repos/huggingface/datasets/issues/32/events | https://github.com/huggingface/datasets/pull/32 | 610,715,580 | MDExOlB1bGxSZXF1ZXN0NDEyMTAzMzIx | 32 | Fix map caching notebooks | {
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} | Previously, caching results with `.map()` didn't work in notebooks.
To reuse a result, `.map()` serializes the functions with `dill.dumps` and then it hashes it.
The problem is that when using `dill.dumps` to serialize a function, it also saves its origin (filename + line no.) and the origin of all the `globals` th... | {
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https://api.github.com/repos/huggingface/datasets/issues/31 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/31/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/31/comments | https://api.github.com/repos/huggingface/datasets/issues/31/events | https://github.com/huggingface/datasets/pull/31 | 610,677,641 | MDExOlB1bGxSZXF1ZXN0NDEyMDczNDE4 | 31 | [Circle ci] Install a virtual env before running tests | {
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} | Install a virtual env before running tests to not running into sudo issues when dynamically downloading files.
Same number of tests now pass / fail as on my local computer:
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https://api.github.com/repos/huggingface/datasets/issues/30 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/30/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/30/comments | https://api.github.com/repos/huggingface/datasets/issues/30/events | https://github.com/huggingface/datasets/pull/30 | 610,549,072 | MDExOlB1bGxSZXF1ZXN0NDExOTY4Mzk3 | 30 | add metrics which require download files from github | {
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} | To download files from github, I copied the `load_dataset_module` and its dependencies (without the builder) in `load.py` to `metrics/metric_utils.py`. I made the following changes:
- copy the needed files in a folder`metric_name`
- delete all other files that are not needed
For metrics that require an external... | {
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https://api.github.com/repos/huggingface/datasets/issues/29 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/29/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/29/comments | https://api.github.com/repos/huggingface/datasets/issues/29/events | https://github.com/huggingface/datasets/pull/29 | 610,243,997 | MDExOlB1bGxSZXF1ZXN0NDExNzIwODMx | 29 | Hf_api small changes | {
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} | From Patrick:
```python
from nlp import hf_api
api = hf_api.HfApi()
api.dataset_list()
```
works :-) | {
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} | https://api.github.com/repos/huggingface/datasets/issues/29/timeline | null | null | 6,621 | true | [
"Ok merging! I think it's good now"
] |
https://api.github.com/repos/huggingface/datasets/issues/28 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/28/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/28/comments | https://api.github.com/repos/huggingface/datasets/issues/28/events | https://github.com/huggingface/datasets/pull/28 | 610,241,907 | MDExOlB1bGxSZXF1ZXN0NDExNzE5MTQy | 28 | [Circle ci] Adds circle ci config | {
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} | @thomwolf can you take a look and set up circle ci on:
https://app.circleci.com/projects/project-dashboard/github/huggingface
I think for `nlp` only admins can set it up, which I guess is you :-) | {
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https://api.github.com/repos/huggingface/datasets/issues/27 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/27/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/27/comments | https://api.github.com/repos/huggingface/datasets/issues/27/events | https://github.com/huggingface/datasets/pull/27 | 610,230,476 | MDExOlB1bGxSZXF1ZXN0NDExNzA5OTc0 | 27 | [Cleanup] Removes all files in testing except test_dataset_common | {
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} | As far as I know, all files in `tests` were old `tfds test files` so I removed them. We can still look them up on the other library. | {
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https://api.github.com/repos/huggingface/datasets/issues/26 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/26/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/26/comments | https://api.github.com/repos/huggingface/datasets/issues/26/events | https://github.com/huggingface/datasets/pull/26 | 610,226,047 | MDExOlB1bGxSZXF1ZXN0NDExNzA2NjA2 | 26 | [Tests] Clean tests | {
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} | the abseil testing library (https://abseil.io/docs/python/quickstart.html) is better than the one I had before, so I decided to switch to that and changed the `setup.py` config file.
Abseil has more support and a cleaner API for parametrized testing I think.
I added a list of all dataset scripts that are currentl... | {
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https://api.github.com/repos/huggingface/datasets/issues/25 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/25/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/25/comments | https://api.github.com/repos/huggingface/datasets/issues/25/events | https://github.com/huggingface/datasets/pull/25 | 609,708,863 | MDExOlB1bGxSZXF1ZXN0NDExMjQ4Nzg2 | 25 | Add script csv datasets | {
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} | This is a PR allowing to create datasets from local CSV files. A usage might be:
```python
import nlp
ds = nlp.load(
path="csv",
name="bbc",
dataset_files={
nlp.Split.TRAIN: ["datasets/dummy_data/csv/train.csv"],
nlp.Split.TEST: [""datasets/dummy_data/csv/test.csv""]
},
c... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/25/timeline | null | null | 6,625 | true | [
"Very interesting thoughts, we should think deeper about all what you raised indeed.",
"Ok here is a proposal for a more general API and workflow.\r\n\r\n# New `ArrowBasedBuilder`\r\n\r\nFor all the formats that can be directly and efficiently loaded by Arrow (CSV, JSON, Parquet, Arrow), we don't really want to h... |
https://api.github.com/repos/huggingface/datasets/issues/24 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/24/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/24/comments | https://api.github.com/repos/huggingface/datasets/issues/24/events | https://github.com/huggingface/datasets/pull/24 | 609,064,987 | MDExOlB1bGxSZXF1ZXN0NDEwNzE5MTU0 | 24 | Add checksums | {
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} | ### Checksums files
They are stored next to the dataset script in urls_checksums/checksums.txt.
They are used to check the integrity of the datasets downloaded files.
I kept the same format as tensorflow-datasets.
There is one checksums file for all configs.
### Load a dataset
When you do `load("squad")`, i... | {
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"Looks good to me :-) \r\n\r\nJust would prefer to get rid of the `_DYNAMICALLY_IMPORTED_MODULE` attribute and replace it by a `get_imported_module()` function. Maybe there is something I'm not seeing here though - what do you think? ",
"> * I'm not sure I understand the general organization of checksums. I see w... |
https://api.github.com/repos/huggingface/datasets/issues/23 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/23/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/23/comments | https://api.github.com/repos/huggingface/datasets/issues/23/events | https://github.com/huggingface/datasets/pull/23 | 608,508,706 | MDExOlB1bGxSZXF1ZXN0NDEwMjczOTU2 | 23 | Add metrics | {
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} | This PR is a draft for adding metrics (sacrebleu and seqeval are added)
use case examples:
`import nlp`
**sacrebleu:**
```
refs = [['The dog bit the man.', 'It was not unexpected.', 'The man bit him first.'],
['The dog had bit the man.', 'No one was surprised.', 'The man had bitten the dog.']]
sys = ['... | {
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https://api.github.com/repos/huggingface/datasets/issues/22 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/22/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/22/comments | https://api.github.com/repos/huggingface/datasets/issues/22/events | https://github.com/huggingface/datasets/pull/22 | 608,298,586 | MDExOlB1bGxSZXF1ZXN0NDEwMTAyMjU3 | 22 | adding bleu score code | {
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} | this PR add the BLEU score metric to the lib. It can be tested by running the following code.
` from nlp.metrics import bleu
hyp1 = "It is a guide to action which ensures that the military always obeys the commands of the party"
ref1a = "It is a guide to action that ensures that the military forces always being... | {
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https://api.github.com/repos/huggingface/datasets/issues/21 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/21/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/21/comments | https://api.github.com/repos/huggingface/datasets/issues/21/events | https://github.com/huggingface/datasets/pull/21 | 607,914,185 | MDExOlB1bGxSZXF1ZXN0NDA5Nzk2MTM4 | 21 | Cleanup Features - Updating convert command - Fix Download manager | {
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} | This PR makes a number of changes:
# Updating `Features`
Features are a complex mechanism provided in `tfds` to be able to modify a dataset on-the-fly when serializing to disk and when loading from disk.
We don't really need this because (1) it hides too much from the user and (2) our datatype can be directly ... | {
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"For conflicts, I think the mention hint \"This should be modified because it mentions ...\" is missing.",
"Looks great!"
] |
https://api.github.com/repos/huggingface/datasets/issues/20 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/20/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/20/comments | https://api.github.com/repos/huggingface/datasets/issues/20/events | https://github.com/huggingface/datasets/pull/20 | 607,313,557 | MDExOlB1bGxSZXF1ZXN0NDA5MzEyMDI1 | 20 | remove boto3 and promise dependencies | {
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} | With the new download manager, we don't need `promise` anymore.
I also removed `boto3` as in [this pr](https://github.com/huggingface/transformers/pull/3968) | {
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https://api.github.com/repos/huggingface/datasets/issues/19 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/19/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/19/comments | https://api.github.com/repos/huggingface/datasets/issues/19/events | https://github.com/huggingface/datasets/pull/19 | 606,400,645 | MDExOlB1bGxSZXF1ZXN0NDA4NjIwMjUw | 19 | Replace tf.constant for TF | {
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} | Replace simple tf.constant type of Tensor to tf.ragged.constant which allows to have examples of different size in a tf.data.Dataset.
Now the training works with TF. Here the same example than for the PT in collab:
```python
import tensorflow as tf
import nlp
from transformers import BertTokenizerFast, TFBertF... | {
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"Awesome!"
] |
https://api.github.com/repos/huggingface/datasets/issues/18 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/18/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/18/comments | https://api.github.com/repos/huggingface/datasets/issues/18/events | https://github.com/huggingface/datasets/pull/18 | 606,109,196 | MDExOlB1bGxSZXF1ZXN0NDA4Mzg0MTc3 | 18 | Updating caching mechanism - Allow dependency in dataset processing scripts - Fix style and quality in the repo | {
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} | This PR has a lot of content (might be hard to review, sorry, in particular because I fixed the style in the repo at the same time).
# Style & quality:
You can now install the style and quality tools with `pip install -e .[quality]`. This will install black, the compatible version of sort and flake8.
You can then ... | {
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"LGTM"
] |
https://api.github.com/repos/huggingface/datasets/issues/17 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/17/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/17/comments | https://api.github.com/repos/huggingface/datasets/issues/17/events | https://github.com/huggingface/datasets/pull/17 | 605,753,027 | MDExOlB1bGxSZXF1ZXN0NDA4MDk3NjM0 | 17 | Add Pandas as format type | {
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} | As detailed in the title ^^ | {
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https://api.github.com/repos/huggingface/datasets/issues/16 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/16/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/16/comments | https://api.github.com/repos/huggingface/datasets/issues/16/events | https://github.com/huggingface/datasets/pull/16 | 605,661,462 | MDExOlB1bGxSZXF1ZXN0NDA4MDIyMTUz | 16 | create our own DownloadManager | {
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} | I tried to create our own - and way simpler - download manager, by replacing all the complicated stuff with our own `cached_path` solution.
With this implementation, I tried `dataset = nlp.load('squad')` and it seems to work fine.
For the implementation, what I did exactly:
- I copied the old download manager
- I... | {
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"Looks great to me! ",
"The new download manager is ready. I removed the old folder and I fixed a few remaining dependencies.\r\nI tested it on squad and a few others from the dataset folder and it works fine.\r\n\r\nThe only impact of these changes is that it breaks the `download_and_prepare` script that was use... |
https://api.github.com/repos/huggingface/datasets/issues/15 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/15/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/15/comments | https://api.github.com/repos/huggingface/datasets/issues/15/events | https://github.com/huggingface/datasets/pull/15 | 604,906,708 | MDExOlB1bGxSZXF1ZXN0NDA3NDEwOTk3 | 15 | [Tests] General Test Design for all dataset scripts | {
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} | The general idea is similar to how testing is done in `transformers`. There is one general `test_dataset_common.py` file which has a `DatasetTesterMixin` class. This class implements all of the logic that can be used in a generic way for all dataset classes. The idea is to keep each individual dataset test file as mini... | {
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"> I think I'm fine with this.\r\n> \r\n> The alternative would be to host a small subset of the dataset on the S3 together with the testing script. But I think having all (test file creation + actual tests) in one file is actually quite convenient.\r\n> \r\n> Good for me!\r\n> \r\n> One question though, will we ha... |
https://api.github.com/repos/huggingface/datasets/issues/14 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/14/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/14/comments | https://api.github.com/repos/huggingface/datasets/issues/14/events | https://github.com/huggingface/datasets/pull/14 | 604,761,315 | MDExOlB1bGxSZXF1ZXN0NDA3MjkzNjU5 | 14 | [Download] Only create dir if not already exist | {
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} | This was quite annoying to find out :D.
Some datasets have save in the same directory. So we should only create a new directory if it doesn't already exist. | {
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https://api.github.com/repos/huggingface/datasets/issues/13 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/13/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/13/comments | https://api.github.com/repos/huggingface/datasets/issues/13/events | https://github.com/huggingface/datasets/pull/13 | 604,547,951 | MDExOlB1bGxSZXF1ZXN0NDA3MTIxMjkw | 13 | [Make style] | {
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} | Added Makefile and applied make style to all.
make style runs the following code:
```
style:
black --line-length 119 --target-version py35 src
isort --recursive src
```
It's the same code that is run in `transformers`. | {
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"I think this can be quickly reproduced. \r\nI use `black, version 19.10b0`. \r\n\r\nWhen running: \r\n`black nlp/src/arrow_reader.py` \r\nit gives me: \r\n\r\n```\r\nerror: cannot format /home/patrick/hugging_face/nlp/src/nlp/arrow_reader.py: cannot use --safe with this file; failed to parse source file. AST erro... |
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} | IMO, if a function is provided that is not a print statement (-> returns variable of type `None`) or a function that updates the datasets (-> returns variable of type `dict`), then a `TypeError` should be raised.
Not sure whether you had cases in mind where the user should do something else @thomwolf , but I think ... | {
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"Also added to an assert statement that if a dict is returned by function, all values of `dicts` are `lists`",
"Wait to merge until `make style` is set in place.",
"Updated the assert statements. Played around with multiple cases and it should be good now IMO. "
] |
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} | Adds another argument to be able to convert only a single file | {
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https://api.github.com/repos/huggingface/datasets/issues/10 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/10/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/10/comments | https://api.github.com/repos/huggingface/datasets/issues/10/events | https://github.com/huggingface/datasets/pull/10 | 603,909,327 | MDExOlB1bGxSZXF1ZXN0NDA2NjAxNzQ2 | 10 | Name json file "squad.json" instead of "squad.py.json" | {
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} | Clean up `nlp/datasets` folder.
As I understood, eventually the `nlp/datasets` shall not exist anymore at all.
The folder `nlp/datasets/nlp` is kept for the moment, but won't be needed in the future, since it will live on S3 (actually it already does) at: `https://s3.console.aws.amazon.com/s3/buckets/datasets.h... | {
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"Yes!"
] |
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https://api.github.com/repos/huggingface/datasets/issues/6 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6/comments | https://api.github.com/repos/huggingface/datasets/issues/6/events | https://github.com/huggingface/datasets/issues/6 | 600,330,836 | MDU6SXNzdWU2MDAzMzA4MzY= | 6 | Error when citation is not given in the DatasetInfo | {
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```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/dev/jplu/datasets/src/nlp/info.py", line 338, in __repr__
citation_pprint = _indent('"""{}"""'.format(self.... | {
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"Yes looks good to me.\r\nNote that we may refactor quite strongly the `info.py` to make it a lot simpler (it's very complicated for basically a dictionary of info I think)",
"No, problem ^^ It might just be a temporary fix :)",
"Fixed."
] |
https://api.github.com/repos/huggingface/datasets/issues/5 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5/comments | https://api.github.com/repos/huggingface/datasets/issues/5/events | https://github.com/huggingface/datasets/issues/5 | 600,295,889 | MDU6SXNzdWU2MDAyOTU4ODk= | 5 | ValueError when a split is empty | {
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"gists_url": "https://api.githu... | [] | closed | false | null | [] | null | 3 | 2020-04-15T13:25:13Z | 2020-04-29T09:23:05Z | 2020-04-29T09:23:05Z | CONTRIBUTOR | null | null | null | When a split is empty either TEST, VALIDATION or TRAIN I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/dev/jplu/datasets/src/nlp/load.py", line 295, in load
ds = dbuilder.as_dataset(**as_dataset_kwargs)
File "/home/jplu/dev/jplu/data... | {
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"To fix this I propose to modify only the file `arrow_reader.py` with few updates. First update, the following method:\r\n```python\r\ndef _make_file_instructions_from_absolutes(\r\n name,\r\n name2len,\r\n absolute_instructions,\r\n):\r\n \"\"\"Returns the files instructions from the absolu... |
https://api.github.com/repos/huggingface/datasets/issues/4 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4/comments | https://api.github.com/repos/huggingface/datasets/issues/4/events | https://github.com/huggingface/datasets/issues/4 | 600,185,417 | MDU6SXNzdWU2MDAxODU0MTc= | 4 | [Feature] Keep the list of labels of a dataset as metadata | {
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"gists_url": "https://api.githu... | [] | closed | false | null | [] | null | 6 | 2020-04-15T10:17:10Z | 2020-07-08T16:59:46Z | 2020-05-04T06:11:57Z | CONTRIBUTOR | null | null | null | It would be useful to keep the list of the labels of a dataset as metadata. Either directly in the `DatasetInfo` or in the Arrow metadata. | {
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"Yes! I see mostly two options for this:\r\n- a `Feature` approach like currently (but we might deprecate features)\r\n- wrapping in a smart way the Dictionary arrays of Arrow: https://arrow.apache.org/docs/python/data.html?highlight=dictionary%20encode#dictionary-arrays",
"I would have a preference for the secon... |
https://api.github.com/repos/huggingface/datasets/issues/3 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3/comments | https://api.github.com/repos/huggingface/datasets/issues/3/events | https://github.com/huggingface/datasets/issues/3 | 600,180,050 | MDU6SXNzdWU2MDAxODAwNTA= | 3 | [Feature] More dataset outputs | {
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"gists_url": "https://api.githu... | [] | closed | false | null | [] | null | 3 | 2020-04-15T10:08:14Z | 2020-05-04T06:12:27Z | 2020-05-04T06:12:27Z | CONTRIBUTOR | null | null | null | Add the following dataset outputs:
- Spark
- Pandas | {
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"Yes!\r\n- pandas will be a one-liner in `arrow_dataset`: https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.to_pandas\r\n- for Spark I have no idea. let's investigate that at some point",
"For Spark it looks to be pretty straightforward as well https://spark.apache.org/docs/latest/sq... |
https://api.github.com/repos/huggingface/datasets/issues/2 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2/comments | https://api.github.com/repos/huggingface/datasets/issues/2/events | https://github.com/huggingface/datasets/issues/2 | 599,767,671 | MDU6SXNzdWU1OTk3Njc2NzE= | 2 | Issue to read a local dataset | {
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"gists_url": "https://api.githu... | [] | closed | false | null | [] | null | 5 | 2020-04-14T18:18:51Z | 2020-05-11T18:55:23Z | 2020-05-11T18:55:22Z | CONTRIBUTOR | null | null | null | Hello,
As proposed by @thomwolf, I open an issue to explain what I'm trying to do without success. What I want to do is to create and load a local dataset, the script I have done is the following:
```python
import os
import csv
import nlp
class BbcConfig(nlp.BuilderConfig):
def __init__(self, **kwarg... | {
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"My first bug report ❤️\r\nLooking into this right now!",
"Ok, there are some news, most good than bad :laughing: \r\n\r\nThe dataset script now became:\r\n```python\r\nimport csv\r\n\r\nimport nlp\r\n\r\n\r\nclass Bbc(nlp.GeneratorBasedBuilder):\r\n VERSION = nlp.Version(\"1.0.0\")\r\n\r\n def __init__(sel... |
https://api.github.com/repos/huggingface/datasets/issues/1 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1/comments | https://api.github.com/repos/huggingface/datasets/issues/1/events | https://github.com/huggingface/datasets/pull/1 | 599,457,467 | MDExOlB1bGxSZXF1ZXN0NDAzMDk1NDYw | 1 | changing nlp.bool to nlp.bool_ | {
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